💃红楼老师档案 已视频认证✅ 📌 名字|欧阳念念 📧电报|@nianianbaby5 📍 位置| #荔湾区 🏷️ 标签|#御姐 #69 #SM 💰 课费|#500p #900pp 📊 年龄 65| 身高 | 体重45 | 罩杯 C 📩 上榜联系: @topbbb_bot 📝查看欧阳念念 1篇报告,综评 9.17 人照 8 颜值 9 身材 9 服务 10 态度 10 环境 9

Channel
广州佛山红楼导航总榜
@GZHL02
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
55,534subscribers
+14,084 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002604807375 |
|---|---|
| Type | Channel |
| Username | @GZHL02 |
| Description | 红楼交流群: @GZHL01 上榜联系: @topbbb_bot |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/GZHL02 |
Topic
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 10:17 | 55,534 | +2,330 |
| 6 Sept 2026, 00:55 | 53,204 | +639 |
| 3 Sept 2026, 21:01 | 52,565 | +295 |
| 2 Sept 2026, 12:45 | 52,270 | +423 |
| 1 Sept 2026, 10:05 | 51,847 | +506 |
| 31 Aug 2026, 06:34 | 51,341 | +357 |
| 30 Aug 2026, 10:04 | 50,984 | +248 |
| 29 Aug 2026, 11:07 | 50,736 | +565 |
| 28 Aug 2026, 08:25 | 50,171 | +267 |
| 27 Aug 2026, 11:44 | 49,904 | +345 |
| 26 Aug 2026, 13:38 | 49,559 | +493 |
| 25 Aug 2026, 12:53 | 49,066 | +411 |
| 24 Aug 2026, 13:38 | 48,655 | +908 |
| 22 Aug 2026, 20:04 | 47,747 | +796 |
| 21 Aug 2026, 11:53 | 46,951 | +384 |
| 20 Aug 2026, 10:47 | 46,567 | +706 |
| 19 Aug 2026, 12:08 | 45,861 | +398 |
| 18 Aug 2026, 14:05 | 45,463 | +418 |
| 17 Aug 2026, 13:09 | 45,045 | +549 |
| 16 Aug 2026, 02:25 | 44,496 | first reading |
Engagement
35 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 73 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.49%
- avg views ÷ 55,534 subscribers
- Avg views / post
- 828
- 21 posts measured
- Reaction rate
- 0.176%
- reactions ÷ views · ER floor
- Posts in window
- 21
- of 35 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 13 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 35 (6 August 2026 – 9 September 2026) |
| Views total | 17,383 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 21:25 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈1,340
- Videos
- ≈59
- Links
- ≈199
Lifetime counters from Telegram’s own channel header, read 9 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 2m 35s
- Average length
- 12s
Measured directly from 13 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
31 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 74.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 74.2% | |
| 👍 | 4 | 12.9% | |
| 👏 | 3 | 9.68% | |
| 🔥 | 1 | 3.23% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 18 of the 35 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 35 most recent posts we hold, published 6 August 2026 to 9 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
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🔈🫠🫠🫠广州首家大型海选水汇! 🥰京溪江泰97国际水汇【海选场】 👠#质量场 #海选 #95场 #97场 📍#京溪 #同和 #天河 #梅花园 🫠🫠🫠 🫠 🫠🫠🫠 特色优点:白云首家海选97水汇,独家皇式选妃大型海选模式!京溪,同和,梅花园,天河周边等地带公认热榜第一质量店。专注口碑!本店没有年纪超过30以上的老师 到店看不上免门票不收费 主打质量 只做高端 服务至上 诚信为本 信誉第一!京溪首家97大型5000平方国际水汇,超模牌都是真实高质量年轻00~05后 80分钟内不限次出水 很多客人抵抗不住 加钟率60% 大量水汇博主都前来打卡过,打造全广州服务与质量天花板97水汇。 ⭐店内24小时免费提供 停车 过夜 自助餐 点餐 水果饮料 棋牌室 干蒸 汗蒸 大厅休息区过夜 单人VIP包房过夜 还有商务接待VIP多人包间过夜 #会所 #水汇 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ …
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❤1
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❤3
Showing the 12 most recent of 35 posts we hold for @GZHL02. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@Asr2321 · 1721 post白云金沙洲 星悦【报告榜】
@azg397 · 4,1511 post白云金沙洲 星悦国际97水汇
@azk957 · 8,6631 post禅城御足原星豪汇94天花板全果
@ccxx9111 · 2,7971 post白云嘉禾鼎悦【报告榜】
@dile795 · 3,2701 post佛山张槎虞美人丝足会所~小 SD 94主打00后👅天花板
@foshanchengdj94 · 10,2251 post佛山禅城94💋(高端局)
@fs8011 · 1,1471 post佛山虞美人&XSD 内部❤️选妃课表
@fsdj94 · 5,2151 post白云龙归 沐屿【报告榜】
@hgka35 · 4,1721 post白云嘉禾鼎悦 国际97水汇
@kgu69 · 9,8581 post白云人和金宸【报告榜】
@RHjh097 · 5,6751 post白云人和金宸 国际水汇
@RHjh97 · 7,4401 post白云龙归 沐屿国际97水汇
@svrb97 · 8,9171 post廣州、佛山/洋酒自選頻道🇨🇳
@yjzx888 · 7,1461 post🌈佛山禅城自聊06柚子🔥
@youziyuan8 · 2,0601 post
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 9 September 2026 — this entry's latest reading, not the date you are reading this.
“广州佛山红楼导航总榜” (@GZHL02), 55,534 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/GZHL02.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.